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Freddie Bickford Smith
Freddie Bickford Smith
University of Oxford
Verified email at cs.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
Modern Bayesian experimental design
T Rainforth, A Foster, DR Ivanova, F Bickford Smith
Statistical Science, 2024
572024
Continual learning via sequential function-space variational inference
TGJ Rudner, F Bickford Smith, Q Feng, YW Teh, Y Gal
International Conference on Machine Learning, 2022
352022
Prediction-oriented Bayesian active learning
F Bickford Smith, A Kirsch, S Farquhar, Y Gal, A Foster, T Rainforth
International Conference on Artificial Intelligence and Statistics, 2023
232023
Understanding top-down attention using task-oriented ablation design
F Bickford Smith, BD Roads, X Luo, BC Love
arXiv preprint arXiv:2106.11339, 2021
22021
Making better use of unlabelled data in Bayesian active learning
F Bickford Smith, A Foster, T Rainforth
International Conference on Artificial Intelligence and Statistics, 2024
2024
The perceptual boost of visual attention is task-dependent in naturalistic settings
F Bickford Smith, X Luo, BD Roads, BC Love
arXiv preprint arXiv:2003.00882, 2020
2020
When is visual attention useful?
F Bickford Smith
University College London, 2019
2019
An investigation into methods of joining fibre-reinforced plastics for Formula Student
F Bickford Smith, C Lo, A Vossos
University of Bristol, 2017
2017
Applications of 3D printing for Formula Student: optimisation of the impact attenuator
F Bickford Smith
University of Bristol, 2016
2016
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Articles 1–9